tag:joss.theoj.org,2005:/papers/tagged/glmJournal of Open Source Software2023-06-22T18:20:23ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/36682023-06-22T18:20:23Z2023-06-23T00:01:38ZThe sspm R package for spatially-explicit surplus production population modelsacceptedv0.9.12022-06-21 14:30:02 UTC862023-06-22 18:20:23 UTC820234724ValentinLucetDepartment of Biology, Concordia University, Montreal, CA0000-0003-0268-818XEricJ.PedersenDepartment of Biology, Concordia University, Montreal, CA, Department of Biology, Memorial University of Newfoundland, St. John's, CA0000-0003-1016-540X10.21105/joss.04724https://doi.org/10.5281/zenodo.8015102Rhttps://joss.theoj.org/papers/10.21105/joss.04724.pdffisheries, management, modelling, GAMtag:joss.theoj.org,2005:Paper/40132023-06-15T15:43:51Z2023-06-16T00:01:33Zgemlog: Data Conversion for the Open-Source Gem Infrasound Loggeracceptedv1.6.62022-11-18 21:06:41 UTC862023-06-15 15:43:51 UTC820235256JacobF.AndersonDepartment of Geosciences, Boise State University, USA0000-0001-6447-6778KevinS.AndersonIndependent Researcher0000-0002-1166-7957TamaraBeschornerOregon Hazards Lab, Earth Science Department, University of Oregon, USA0000-0001-7792-849710.21105/joss.05256https://doi.org/10.5281/zenodo.8015143Jupyter Notebook, Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05256.pdfgeophysics, infrasoundtag:joss.theoj.org,2005:Paper/36532023-02-21T15:19:54Z2023-02-22T00:00:52ZdsBinVal: Conducting distributed ROC analysis using DataSHIELDacceptedv1.0.12022-06-13 12:52:25 UTC822023-02-21 15:19:54 UTC820234545DanielSchalkDepartment of Statistics, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, Germany0000-0003-0950-1947VerenaSophiaHoffmannInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, GermanyBerndBischlDepartment of Statistics, LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, GermanyUlrichMansmannInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, Germany10.21105/joss.04545https://doi.org/10.5281/zenodo.7634619Rhttps://joss.theoj.org/papers/10.21105/joss.04545.pdfDataSHIELD, distributed computing, distributed analysis, privacy-preserving, diagnostic tests, prognostic model, model validation, ROC-GLM, discrimination, calibration, Brier scoretag:joss.theoj.org,2005:Paper/31562022-02-11T19:38:53Z2022-02-12T00:00:54ZGCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Dataacceptedv0.1.32021-11-05 14:39:30 UTC702022-02-11 19:38:53 UTC720223947NoraLooseDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, CO, USA0000-0002-3684-9634RyanAbernatheyLamont-Doherty Earth Observatory, Columbia University, New York, NY, USA0000-0001-5999-4917IanGroomsDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, CO, USA0000-0002-4678-7203JuliusBuseckeLamont-Doherty Earth Observatory, Columbia University, New York, NY, USA0000-0001-8571-865XArthurGuillauminCourant Institute of Mathematical Sciences, New York University, New York, NY, USA0000-0003-1571-4228ElizabethYankovskyCourant Institute of Mathematical Sciences, New York University, New York, NY, USA0000-0003-3612-549XGustavoMarquesClimate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, USA0000-0001-7238-0290JacobSteinbergWoods Hole Oceanographic Institution, Woods Hole, MA, USA0000-0002-2609-6405AndrewSlavinRossCourant Institute of Mathematical Sciences, New York University, New York, NY, USA0000-0002-2368-6979HemantKhatriEarth, Ocean and Ecological Sciences, University of Liverpool, UK0000-0001-6559-9059ScottBachmanClimate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, USA0000-0002-6479-4300LaureZannaCourant Institute of Mathematical Sciences, New York University, New York, NY, USA0000-0002-8472-4828PaigeMartinLamont-Doherty Earth Observatory, Columbia University, New York, NY, USA, Research School of Earth Sciences, Australian National University, Canberra, Australia0000-0003-3538-633X10.21105/joss.03947https://doi.org/10.5281/zenodo.6039860Pythonhttps://joss.theoj.org/papers/10.21105/joss.03947.pdfocean modeling, climate modeling, fluid dynamicstag:joss.theoj.org,2005:Paper/17012021-02-07T08:16:41Z2021-02-17T23:18:00Zgym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systemsacceptedv0.2.12020-05-29 12:35:51 UTC582021-02-07 08:16:41 UTC620212498PraneethBalakrishnaDepartment of Power Electronics and Electrical Drives, Paderborn University, GermanyGerritBookDepartment of Power Electronics and Electrical Drives, Paderborn University, GermanyWilhelmKirchgässnerDepartment of Power Electronics and Electrical Drives, Paderborn University, Germany0000-0001-9490-1843MaximilianSchenkeDepartment of Power Electronics and Electrical Drives, Paderborn University, Germany0000-0001-5427-9527ArneTraueDepartment of Power Electronics and Electrical Drives, Paderborn University, GermanyOliverWallscheidDepartment of Power Electronics and Electrical Drives, Paderborn University, Germany0000-0001-9362-877710.21105/joss.02498https://doi.org/10.5281/zenodo.4355691Pythonhttps://joss.theoj.org/papers/10.21105/joss.02498.pdfelectric drive control, electric motors, OpenAI Gym, power electronics, reinforcement learningtag:joss.theoj.org,2005:Paper/20602021-01-07T22:06:36Z2021-12-27T17:54:04ZGIMS: Graphical Interface for Materials Simulationsaccepted1.0.02020-10-06 15:26:57 UTC572021-01-07 22:06:36 UTC620212767SebastianKokottThe NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society, Berlin, Germany0000-0003-1066-6909IkerHurtadoThe NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society, Berlin, Germany0000-0003-3805-4912ChristianVorwerkInstitut für Physik and IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin, Germany0000-0002-2516-9553ClaudiaDraxlInstitut für Physik and IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin, Germany0000-0003-3523-6657VolkerBlumDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC, United States of America0000-0001-8660-7230MatthiasSchefflerThe NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society, Berlin, Germany0000-0002-1280-987310.21105/joss.02767https://doi.org/10.5281/zenodo.4386436Python, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.02767.pdfComputational Materials Science, Electronic Structure Theory, Density Functional Theorytag:joss.theoj.org,2005:Paper/13792020-03-01T23:43:39Z2021-02-15T11:31:19ZPyglmnet: Python implementation of elastic-net regularized generalized linear modelsacceptedv1.12019-11-26 03:54:41 UTC472020-03-01 23:43:39 UTC520201959MainakJasMassachusetts General Hospital, Harvard Medical School0000-0002-3199-9027TitipatAchakulvisutUniversity of Pennsylvania0000-0002-2124-2979AidIdrizovićLoyola UniversityDanielAcunaUniversity of SyracuseMatthewAntalekNorthwestern UniversityViniciusMarquesLoyola UniversityTommyOdlandSonat ConsultingRaviPrakashGargNorthwestern UniversityMayankAgrawalPrinceton UniversityYuUmegakiNTT DATA Mathematical Systems IncPeterFoley6050000-0002-0304-7213HugoFernandesRockets of Awesome0000-0002-0168-4104DrewHarrisEpoch CapitalBeibinLiUniversity of WashingtonOlivierPietersIDLab-AIRO -- Ghent University -- imec, Research Institute for Agriculture, Fisheries and Food0000-0002-5473-4849ScottOttersonClean Power ResearchGiovanniDe ToniUniversity of Trento0000-0002-8387-9983ChrisRodgersColumbia University0000-0003-1762-3450EvaDyerGeorgia TechMattiHamalainenMassachusetts General Hospital, Harvard Medical SchoolKonradKordingUniversity of PennsylvaniaPavanRamkumarSystem1 Biosciences Inc0000-0001-7450-072710.21105/joss.01959https://doi.org/10.5281/zenodo.3686564Pythonhttps://joss.theoj.org/papers/10.21105/joss.01959.pdfglm, machine-learning, lasso, elastic-net, group-lassotag:joss.theoj.org,2005:Paper/6222018-10-31T19:00:00Z2021-02-15T11:33:00Zrr2: An R package to calculate $R^2$s for regression modelsacceptedv1.0.02018-09-14 17:13:45 UTC302018-10-31 19:00:00 UTC320181028AnthonyR.IvesDepartment of Integrative Biology, UW-Madison, Madison, WI 537060000-0001-9375-9523DaijiangLiDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 326110000-0002-0925-342110.21105/joss.01028https://doi.org/10.5281/zenodo.1475416Rhttps://joss.theoj.org/papers/10.21105/joss.01028.pdf$R^2$, GLMM, phylogenetic regression, models with correlated datatag:joss.theoj.org,2005:Paper/6152018-09-20T17:38:43Z2021-02-15T11:33:02Zungroup: An R package for efficient estimation of smooth distributions from coarsely binned dataacceptedv1.0.32018-09-10 12:57:29 UTC292018-09-20 17:38:43 UTC32018937MariusD.PascariuInstitute of Public Health, Center on Population Dynamics, University of Southern Denmark, Odense, Denmark0000-0002-2568-6489MaciejJ.DańkoMax Planck Institute for Demographic Research, Rostock, Germany0000-0002-7924-9022JonasSchöleyInstitute of Public Health, Center on Population Dynamics, University of Southern Denmark, Odense, Denmark0000-0002-3340-8518SilviaRizziInstitute of Public Health, Unit of Epidemiology Biostatistics and Biodemography, University of Southern Denmark, Odense, Denmark10.21105/joss.00937https://doi.org/10.5281/zenodo.1421648R, C++https://joss.theoj.org/papers/10.21105/joss.00937.pdfcomposite link model, GLM, histogram, binned data, smoothingtag:joss.theoj.org,2005:Paper/5462018-09-01T12:33:33Z2021-02-15T11:33:13ZGEM: A Python package for graph embedding methodsacceptedv1.0.02018-07-09 19:14:11 UTC292018-09-01 12:33:33 UTC32018876PalashGoyalUSC Information Sciences Institute0000-0003-2455-2160EmilioFerraraUSC Information Sciences Institute0000-0002-1942-283110.21105/joss.00876https://doi.org/10.5281/zenodo.1407178C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.00876.pdfnetworks, graphs, embedding, graph embedding, network analysis, graph visualization